Course
digicode: AWSD08
Building Advanced Agentic Systems on AWS – Intensive Training
Learn about implementing production-ready multi-agent systems using Amazon Bedrock AgentCore, covering mulit-agent patterns, context optimization techniques, security configurations, and monitoring frameworks.
Duration
1 day
Price
900.–
Course documents
Digital original AWS courseware
Course facts
- Multi-Agent Architecture & Communication: Analyzing scenarios for multi-agent systems and describing their primary communication patterns and use cases
- Deployment & Tooling: Configuring agent-as-tool patterns and designing deployment strategies for production environments
- Memory & Context Management: Implementing memory sharing, context management strategies, and designing compression/optimization mechanisms for production workloads
- Security & Access Control: Configuring policy-based access control (AgentCore Policy Engine), implementing VPC integration, and establishing audit trails/compliance monitoring
- Observability & Monitoring: Implementing distributed tracing, monitoring, and configuring integration patterns for enterprise observability systems
- Evaluation & Production Readiness: Establishing comprehensive agent evaluation frameworks and assessing production readiness with continuous improvement processes
You will examine the skills needed to move beyond proof-of-concept to scalable, secure, and observable agentic AI implementations. The course prepares you to design and deploy advanced agentic systems ready for real-world production environment.
1 Multi-Agent Architecture and Communications Patterns
- Single agent limitations and multi-agent benefits
- Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore - Task 1: Building a Personal Budget Assistant with Strands Agents
- Multi-agent communication patterns
- Memory and state management
- Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore - Task 2: Building a Multi-Agent System for Complex Financial Analysis
2 Context Engineering and Performance Optimization
- Context as finite resource
- Context optimization techniques
- Tool design for context efficiency
3 Security and Compliance Implementation
- Production Identity and Access Management
- VPC integration and network security
4 Production Monitoring, Observability, and Evaluation
- Monitoring architecture
- AgentCore evaluation
- Enterprise observability integration
- Instructor Demonstration: Building and Deploying Intelligent Financial Agents with Amazon Bedrock Strands and AgentCore - Task 3: Deploying Production-Ready Agents with Amazon Bedrock
- AgentCore
5 Well-Architected Agentic AI Systems
- Applying the Well-Architected framework
- Well-Architected deployment
- Production readiness
6 Course Wrap-up
- Next steps and additional resources
- Course summary
This course includes presentations, hands-on lab, and group exercises.
- Software developers seeking intermediate knowledge for building advanced agentic AI systems
- Technical professionals exploring AI capabilities and interested in building advanced agentic AI systems
- Development teams building advanced agentic AI solutions
We recommend having previously taken the following courses: